14 lines
696 B
Text
14 lines
696 B
Text
Data Science Version Control or DVC is an open-source tool for data science and
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machine learning projects. With a simple and flexible Git-like architecture and
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interface it helps data scientists:
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* manage machine learning models - versioning, including data sets and
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transformations (scripts) that were used to generate models;
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* make projects reproducible;
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* make projects shareable;
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* manage experiments with branching and metrics tracking.
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It aims to replace tools like Excel and Docs that are being commonly used as a
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knowledge repo and a ledger for the team, ad-hoc scripts to track and move
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deploy different model versions, ad-hoc data file suffixes and prefixes.
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WWW: https://dvc.org/
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